docstr: Initialize a Leaderboard from a .csv `path`
  
  Parameters
  ----------
  path: str
      The path of the file to read in as a DataFrame
  assert_existence: boolean, default=False
      If False, and :func:`pandas.read_csv` raises FileNotFoundError, the Leaderboard will be
      initialized with None. Else the exception is raised normally
docstr_tok: ["Initialize","a","Leaderboard","from","a",".csv","`","path","`","Parameters","--","--","--","--","--","path",":","str","The","path","of","the","file","to","read","in","as","a","DataFrame","assert_existence",":","boolean",",","default=False","If","False",",","and",":","func",":","`","pandas.read_csv","`","raises","FileNotFoundError",",","the","Leaderboard","will","be","initialized","with","None",".","Else","the","exception","is","raised","normally"]
code: def from_path(cls, path, assert_existence=False):
      """Initialize a Leaderboard from a .csv `path`
  
      Parameters
      ----------
      path: str
          The path of the file to read in as a DataFrame
      assert_existence: boolean, default=False
          If False, and :func:`pandas.read_csv` raises FileNotFoundError, the Leaderboard will be
          initialized with None. Else the exception is raised normally
      """
      try:
          data = pd.read_csv(path, index_col=None)
      except FileNotFoundError:
          if assert_existence is True:
              raise
          data = None
      return cls(data=data)
  
file_path: hyperparameter_hunter/hyperparameter_hunter/i_o/leaderboards.py
imports: from abc import ABCMeta, abstractmethod
  from collections import OrderedDict
  from numbers import Number
  import numpy
  import pandas
  from typing import Dict, List, Optional, Tuple
label_desc: Use image node_id 3 for calling the Leaderboard obj's underlying member method code with example usage: obj.from_path(cls, path, assert_existence) and returns: cls